The concerted efforts toward making artificial intelligence (AI) technology capable of human-like cognitive behavior such as learning, reasoning, problem solvin
g, planning and self-correction have received a huge boost with advances in deep learning and neural networks. The technological complexities inherent in developing perceptions for machines, as well as the verification and validation of these tools, have been eased to a large extent by the advancements of AI technology. These developments will open up a plethora of opportunities for AI in smart applications that can make critical decisions autonomously and accurately, without human intervention. “With Brain Computer Interface (BCI), AI can power future machines to understand human thoughts and emotions, even without physical or vocal communication,” noted Frost & Sullivan TechVision Senior Research Analyst Debarun Guha Thakurta. “Instead of simply mimicking the human brain structurally, AI will be able to impart human-like intelligence to machines.”

Artificial Intelligence (AI) – R&D and Applications Roadmap is part of the TechVision (Information & Communication) Growth Partnership Service program. Leveraging convergent ideas with technologies, AI can open up new horizons in groundbreaking applications. Moving beyond syntactical understanding of human words, future applications will understand the semantics hidden in human language, and observe, understand, and detect objects accurately in their surroundings, making them more responsive. Additionally, the study explores the roadblocks to technology implementation.

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Academia and corporates all over the world are conducting extensive research to make AI more intelligent. The United States is responsible for almost 35 percent of the patents in AI, followed by China, World Intellectual Property Organization (WIPO), Japan, Europe and South Korea.

“AI is being widely used across sectors like healthcare, automotive, banking and finance, and aerospace and defense due to its ability to understand patterns in data and make highly accurate predictions and simulations,” noted Guha Thakurta. “In due course, it will be an integral component powering future cognitive computing systems that have processing power and intelligence similar to human beings.”